Cases2 cases
1 to 2 of 2
IL-0471GitHub Actions runs failed or sat queued for 9 hours after a routine deployment's pod replacement saturated capacityGitHub2026- Symptoms
From 15:05 UTC on 6 August 2026 GitHub Actions workflow runs failed to start, failed partway through or stayed queued for a long time, on both GitHub-hosted and self-hosted runners. Some requests to the Actions REST API returned errors, and some customers saw unexpected rate limiting in their workflows.
- Trigger
A routine deployment to an internal Actions service that processes events and generates Actions jobs replaced pods, and the remaining capacity became saturated.
- Root cause
- Component
- Contributing factor
- Remediation
- Expanded capacity of the affected services
- Throttled incoming webhook-triggered work
- Increased processing capacity for the backlog of affected events
- Deployed changes that stopped runners from repeatedly trying to acquire invalid jobs
- Deployed a fix for self-hosted runners that were not picking up jobs and enabled it incrementally
- Paused migrations with GitHub Enterprise Importer
- Restored webhook-triggered Actions workflows to full throughput
- Rolled back the mitigation that left some ARC runners offline, and recovered those runners by hand
- Shared CLI and UI steps for customers to clear jobs that could not be retried or canceled
- Action items
- Improve deployment and capacity safeguards for the affected services
- Strengthen monitoring for the conditions that preceded the incident
- Improve the resiliency and recovery of queued work and runner assignment
- Add automatic recovery for self-hosted runners in upcoming Runner and ARC releases
- Reduce the risk of cascading failures and speed up recovery during large Actions disruptions
IL-0302Peak load on GitHub's mysql1 MySQL cluster maxed out its database proxy's connections and stopped writes in March 2022GitHub2022- Symptoms
On March 16, 2022 at 14:09 UTC, write operations across GitHub stopped working, including git operations, webhooks, pull requests, API requests, issues, GitHub Packages, GitHub Codespaces, GitHub Actions and GitHub Pages. Under peak-hour load, the database proxy in front of the shared mysql1 MySQL database had reached its maximum number of connections.
- Trigger
Increased load on mysql1 during peak hours, combined with poor query performance in specific circumstances, pushed the database proxy to its maximum number of connections.
- Root cause
- Component
- Contributing factor
- Remediation
- Failed over mysql1 to a healthy replica on March 16
- Reset the application connections to the new primary on March 17
- Added an index that fixed the main query performance problem
- Performed a primary failover on March 22
- Performed a primary failover on March 23
- Throttled webhook traffic to reduce load
- Action items
- Keep throttling webhook traffic at peak load times
- Audit the load patterns of mysql1 during peak hours and make performance fixes based on the audits
- Move traffic to other databases to reduce load and speed up failover
- Review change management, particularly monitoring and changes during high load in production
- Shard the databases and scale up hardware
These 2 cases involve CI system and Database. kubegap audits a Kubernetes cluster for gaps like these, read-only, from Claude Code or Codex; its checks cite public reports like the ones in this library.
By root cause1
Capacity exhaustion2 cases
- Contributing factor
- Organisation